Search your business knowledge
Find information in approved documents, with source references when supported by the solution.
Processes that save work
AI for a specific task. Automation you can control.
Assistants, document search and workflows that connect AI with your business systems and rules.
Our approach
We start with a specific need.
We start with a repetitive task, not an AI model. We define the information source, expected result and the points where human approval is needed. Then we test the solution against real work scenarios. Automation is useful when your team understands what it does, where it can go wrong and how to control it.
Discuss your projectIn practice
Where it can help.
Process enquiries
Categorise messages and draft replies your team can review before sending.
Actions across systems
Repeated transfers of information, with predefined steps and approval for sensitive actions.
How we work
Clear steps, from start to delivery.
- We select the task and review the data it will use.
- We build a limited trial using representative examples.
- We measure quality, examine errors and set boundaries.
- We integrate the process with oversight and a way to stop it.
Before we begin
Frequently asked questions.
Is every AI answer correct?
No. That is why we use test criteria, defined sources and human review where errors have consequences.
What happens to our business data?
Before integration, we review what is sent, to which provider, with what access and under which data retention terms.
Are there costs after development?
There may be fees for models, APIs and infrastructure. We make these dependencies clear and set usage limits appropriate to the project.
Other parts of the project.
Let’s talk about your project
What shall we build together?
Tell us how your business works and what you want to improve.